src/Gargantext/Pipeline.hs

   1 {-|
   2 Module      : Gargantext.Pipeline
   3 Description : Server API
   4 Copyright   : (c) CNRS, 2017-Present
   5 License     : AGPL + CECILL v3
   6 Maintainer  : team@gargantext.org
   7 Stability   : experimental
   8 Portability : POSIX
   9
  10 -}
  11
  12 {-# OPTIONS_GHC -fno-warn-name-shadowing #-}
  13 {-# LANGUAGE NoImplicitPrelude           #-}
  14
  15 module Gargantext.Pipeline
  16   where
  17
  18 import Data.Text.IO (readFile)
  19
  20 import Control.Arrow ((***))
  21 import Data.Map.Strict (Map)
  22 import qualified Data.Map.Strict as M
  23 import qualified Data.Set        as S
  24 import qualified Data.List       as L
  25 import Data.Tuple.Extra (both)
  26 ----------------------------------------------
  27 import Gargantext.Core (Lang(FR))
  28 import Gargantext.Prelude
  29
  30 import Gargantext.Viz.Graph.Index (score, createIndices, toIndex, fromIndex, cooc2mat, mat2map)
  31 import Gargantext.Viz.Graph.Distances.Matrice (incExcSpeGen, conditional)
  32 import Gargantext.Viz.Graph.Index (Index)
  33 import Gargantext.Text.Metrics.Occurrences (cooc, removeApax)
  34 import Gargantext.Text.Terms (TermType(Multi, Mono), extractTerms)
  35 import Gargantext.Text.Context (splitBy, SplitContext(Sentences))
  36
  37 import Data.Graph.Clustering.Louvain.CplusPlus (cLouvain)
  38
  39 --filterCooc :: Ord t => Map (t, t) Int -> Map (t, t) Int
  40 --filterCooc m =
  41 ---- filterCooc m = foldl (\k -> maybe (panic "no key") identity $ M.lookup k m) M.empty selection
  42 ----(ti, fi)  = createIndices m
  43 -- . fromIndex fi $ filterMat $ cooc2mat ti m
  44
  45
  46
  47 import Data.Array.Accelerate (Matrix)
  48 filterMat :: Matrix Int -> [(Index, Index)]
  49 filterMat m = S.toList $ S.take n $ S.fromList $ (L.take nIe incExc') <> (L.take nSg speGen')
  50   where
  51     (incExc', speGen') = both ( map fst . L.sortOn snd . M.toList . mat2map) (incExcSpeGen m)
  52     n = nIe + nSg
  53     nIe = 30
  54     nSg = 70
  55
  56
  57 pipeline path = do
  58   -- Text  <- IO Text <- FilePath
  59   text     <- readFile path
  60   let contexts = splitBy (Sentences 3) text
  61   myterms <- extractTerms Multi FR contexts
  62
  63   -- TODO    filter (\t -> not . elem t stopList) myterms
  64   -- TODO    groupBy (Stem | GroupList)
  65
  66   let myCooc = removeApax $ cooc myterms
  67   let (ti, fi) = createIndices myCooc
  68   pure ti
  69   -- Cooc -> Matrix
  70
  71 --  -- filter by spec/gen (dynmaic programming)
  72 --  let theScores = M.filter (>0) $ score conditional myCoocFiltered
  73 ----
  74 ------  -- Matrix -> Clustering
  75 ------  pure $ bestpartition False $ map2graph $ toIndex ti theScores
  76 --  partitions <- cLouvain theScores
  77 --  pure partitions
  78 ---- | Building : -> Graph -> JSON
  79
  80